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9<br />

Network Theorems<br />

9.1 INTRODUCTION<br />

This chapter will introduce the important fundamental theorems of network<br />

analysis. Included are the superposition, Thévenin’s, Norton’s,<br />

maximum power transfer, substitution, Millman’s, and reciprocity<br />

theorems. We will consider a number of areas of application for each.<br />

A thorough understanding of each theorem is important because a<br />

number of the theorems will be applied repeatedly in the material to<br />

follow.<br />

9.2 SUPERPOSITION THEOREM<br />

The superposition theorem, like the methods of the last chapter, can<br />

be used to find the solution to networks with two or more sources that<br />

are not in series or parallel. The most obvious advantage of this method<br />

is that it does not require the use of a mathematical technique such as<br />

determinants to find the required voltages or currents. Instead, each<br />

source is treated independently, and the algebraic sum is found to determine<br />

a particular unknown quantity of the network.<br />

The superposition theorem states the following:<br />

The current through, or voltage across, an element in a linear<br />

bilateral network is equal to the algebraic sum of the currents or<br />

voltages produced independently by each source.<br />

When one is applying the theorem, it is possible to consider the<br />

effects of two sources at the same time and reduce the number of networks<br />

that have to be analyzed, but, in general,<br />

Number of networks Number of<br />

to be analyzed<br />

� independent sources<br />

(9.1)<br />

To consider the effects of each source independently requires that<br />

sources be removed and replaced without affecting the final result. To<br />

Th

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